{"id":"W2513075473","doi":"","title":"Financial Institutions and Money Laundering: A Threatening Relationship?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Money laundering; Business; Financial system; Conviction; Finance; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002345196,0.0003902159,0.0003029705,0.001882989,0.005800354,0.01009842,0.000878032,0.004195163,0.01840212],"category_scores_gemma":[0.01082426,0.0002336706,0.0003781644,0.002200381,0.01217356,0.01467286,0.005483691,0.006174162,0.001157771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002995122,"about_ca_system_score_gemma":0.002862956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005238948,"about_ca_topic_score_gemma":0.005410437,"domain_scores_codex":[0.9973471,0.00141573,0.0000696708,0.0001652828,0.0003479713,0.0006541269],"domain_scores_gemma":[0.9881571,0.005104683,0.003598421,0.0002672327,0.0005781033,0.002294314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003699425,0.0008118994,0.1319411,0.0003845136,0.00009457165,0.003881696,0.1838191,0.0002739502,0.0002982052,0.5767471,0.0348733,0.06650463],"study_design_scores_gemma":[0.00006830414,0.0002182417,0.135997,0.002040181,0.000106939,0.004964957,0.5079623,0.0004828189,0.0003222523,0.1969739,0.1507055,0.0001574551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4175696,0.02376854,0.001037954,0.3642355,0.0007867059,0.00003590215,0.0001581885,0.0000302739,0.1923775],"genre_scores_gemma":[0.9832286,0.006256943,0.0001065041,0.006278694,0.0004788572,0.00001549266,0.00003388885,0.00001261881,0.003588527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01840212,"threshold_uncertainty_score":0.06156123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691242660517691,"score_gpt":0.2975908694054336,"score_spread":0.2606784428002566,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}